Process simulation, cost estimation and 3D models are crucial to engineering projects, leading to better, more accurate designs. Now imagine seamlessly integrating these disciplines into one concurrent workflow for real-time collaboration that dramatically saves time and reduces costs.

Las plantas de proceso enfrentan el desafío de cumplir con sus objetivos de crecimiento y sostenibilidad en un entorno de condiciones operativas en constante cambio, incluyendo la variabilidad en las materias primas. Muchos KPIs críticos no pueden medirse en tiempo real, lo que dificulta la optimización del desempeño. Aunque los modelos de simulación de procesos pueden desplegarse en línea para brindar visibilidad en tiempo real a los operadores, existe la percepción errónea en la industria de que este enfoque es complejo y difícil de implementar.

AspenTech Industrial AI is uniquely different and presents a new opportunity for the process industries. It is leading-edge AI technology that delivers the agility to stay ahead of changing conditions, guides your workforce to maximize operational excellence and automates tasks to accelerate decision-making and deliver business insights.

Carbon capture is a critical lever for the hard-to-abate chemical industry. Feasibility for these new, innovative processes relies on technical and economic optimization.

Join this webinar for a demonstration of our Advanced Distribution Management System (ADMS) to learn how a powerful network model with a robust suite of advanced applications enables resiliency and operational excellence for real-time distribution operations from grid edge to the control room.

Process safety remains a top priority for companies worldwide, but balancing CAPEX against the need to design safety systems for multiple emergencies can be challenging.

Seismic inversion of rock properties is crucial for geoscientists assessing the integrity of reservoirs and surrounding formations. Geophysicists face challenges such as limited seismic data resolution, structural complexity and the need for high-productivity technology to meet project deadlines.

Sulfur recovery units (SRUs) are critical to process plants to ensure product quality and meet environmental regulations. However, SRUs present challenges with limited performance insights due to unpredictable catalyst degradation and feed composition-dependent optimization. Additionally, varied plant configurations and rapidly evolving technology add to the complexity.

To run an ethylene plant longer, safer and greener, digitalization plays a pivotal role. In today's unfavorable market conditions, digital solutions are needed to improve the overall profitability and sustainability of operations.

Mandated to aggressively reduce emissions, today’s refining and chemical companies must also find new ways to improve energy efficiency and—in turn—margins. The sooner owner/operators uncover opportunities for improvement, the faster they can advance operational excellence goals.